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📊 Timeseries data analytics

Multi-hive analytics dashboard for comparing colony metrics over time, identifying trends, correlations, and anomalies across your apiary.

Overview​

The timeseries analytics feature provides telemetry data visualization in two ways:

  1. Individual hive view - Single hive metrics accessible from hive details page under the "Metrics" tab
  2. Multi-hive analytics - Comparative dashboard at /time for analyzing multiple hives simultaneously

By overlaying data from different colonies, beekeepers can quickly identify patterns, compare performance, and spot outliers.

This feature helps:

  • Compare colony development across your apiary
  • Identify correlations between metrics (weight drops and swarming)
  • Spot underperforming hives early
  • Analyze impact of weather on bee behavior
  • Export data for external analysis and reporting

Available charts​

Colony population​

Track bee population estimates from inspection data with optional ideal growth curve overlay for comparison against expected colony development patterns.

Hive weight​

Compare daily average weight across hives to monitor honey flow, detect nectar dearth periods, and identify optimal harvest timing.

Internal temperature​

Monitor temperature patterns inside each hive. Stable brood nest temperatures (34-35°C) indicate healthy colonies with active brood rearing.

Entrance traffic​

Analyze bee entrance activity including:

  • Bees in/out - Directional traffic flow
  • Net flow - Difference between incoming and outgoing bees
  • Average speed - Movement velocity at entrance
  • 95th percentile speed - Fast-moving bee detection
  • Stationary bees - Bees lingering at entrance (guarding behavior)
  • Detected bees - Total count in camera frame
  • Bee interactions - Encounters between bees (trophallaxis, aggression)

Weather correlation​

Overlay environmental data to understand external factors:

  • Temperature and wind speed
  • Rainfall and cloud cover
  • Solar radiation
  • Pollen availability
  • Air pollution levels

How it works​

Individual hive view​

  1. Navigate to hive details

    • Open any hive from apiary view
    • Click the "Metrics" tab in the hive navigation

  2. View single hive data

    • Weight chart (last 7 days)
    • Temperature chart (last 7 days)
    • Entrance movement chart (last 7 days)
    • Charts automatically synchronized for easy correlation

Multi-hive analytics dashboard​

  1. Select apiary

    • Choose which apiary to analyze
    • Filters hives to the selected location

  2. Choose hives

    • Select one or more hives to compare
    • Multi-select allows side-by-side comparison
    • URL parameters support direct links to specific hives

  3. Set time range

    • Default: 90 days
    • Options: 7, 30, 90, 180, 365 days
    • Longer ranges use daily aggregation for performance

  4. Enable charts

    • Toggle individual charts on/off
    • Customizes view to focus on relevant metrics
    • Settings persist in browser localStorage

  5. Synchronized scrolling

    • All charts sync time axis when zooming or panning
    • Makes it easy to correlate events across metrics
    • Click-drag to zoom, double-click to reset

  6. Export data

    • Click table icon (📋) on any chart
    • View raw data in table format
    • Export as CSV for external analysis

Features​

Two viewing modes​

  • Individual hive: Quick access to recent metrics (7 days) from hive details page
  • Multi-hive dashboard: Comprehensive analytics at /time for cross-hive comparison

Cross-hive comparison​

Overlay multiple hives on the same chart with color-coded lines. Quickly identify which colonies are gaining weight faster, maintaining stable temperatures, or showing unusual entrance activity patterns.

Correlation analysis​

Look for relationships between metrics:

  • Weight drops preceding swarms
  • Temperature extremes affecting bee activity
  • Weather impact on foraging behavior
  • Population growth matching weight gain

Alert threshold visualization​

Visual indicators show configured alert thresholds on charts. When metrics exceed safe ranges, threshold lines help assess severity.

Inspection markers​

Inspection events appear as vertical markers on charts, linking manual observations with sensor data patterns.

Data export​

Export any chart's data as CSV for:

  • Excel analysis
  • Statistical modeling
  • Custom visualizations
  • Record keeping and reporting

URL deep linking​

Share specific views with query parameters:

  • ?hiveId=123 - Auto-select a hive
  • ?apiaryId=456 - Set apiary context
  • ?chartType=weight&scrollTo=weight - Highlight specific chart

Use cases​

Seasonal planning​

Compare weight gain patterns across years to:

  • Predict optimal harvest windows
  • Identify best performing locations
  • Plan feeding schedules based on historical dearth periods

Queen performance evaluation​

Overlay population growth curves to:

  • Compare queens from different breeders
  • Identify superior genetics for breeding
  • Determine optimal replacement timing

Swarm prediction​

Monitor for swarm indicators:

  • Sudden weight drops (5-10kg)
  • Increased entrance traffic
  • Temperature fluctuations
  • Population peaks followed by declines

Environmental impact analysis​

Correlate bee behavior with weather:

  • Foraging activity vs temperature
  • Rain impact on entrance traffic
  • Wind speed affecting flight patterns
  • Pollen availability and colony growth

Treatment efficacy tracking​

Compare colonies before and after interventions:

  • Weight recovery post-feeding
  • Temperature stabilization after ventilation fixes
  • Activity normalization after treatment

Technical details​

Data sources:

  • Telemetry data from telemetry-api (temperature, weight, entrance metrics)
  • Inspection records from local Dexie database
  • Weather data from external APIs
  • Population estimates from inspection JSON data

Performance:

  • Charts use lightweight-charts library for smooth rendering
  • Data queries optimized with GraphQL fragments
  • Long time ranges use daily aggregation (over 30 days)
  • Client-side caching via Apollo Client
  • Settings persist in browser localStorage

Limitations:

  • Maximum 7 days for temperature (high-resolution data)
  • Entrance metrics require entrance-observer hardware
  • Weather data requires apiary GPS coordinates
  • Population estimates require manual inspection data

Resources​